{"id":"W3036859149","doi":"10.1002/aic.16538","title":"Subspace based model identification for missing data","year":2020,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Missing data; Subspace topology; Singular value decomposition; Imputation (statistics); Leverage (statistics); Computer science; Partial least squares regression; System identification; Data mining; Algorithm; Identification (biology); Nonlinear system; Mathematical optimization; Mathematics; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002429271,0.00006071262,0.00008376082,0.00002637622,0.00008309812,0.0001217539,0.000195882,0.00003635462,0.00001191308],"category_scores_gemma":[0.0000855871,0.00005896222,0.00003709435,0.00006664328,0.000004106115,0.0002000818,0.000007986525,0.0001280087,0.00001666432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002574002,"about_ca_system_score_gemma":0.00002583619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.249809e-7,"about_ca_topic_score_gemma":0.000003813606,"domain_scores_codex":[0.9995025,0.00001434324,0.0001846832,0.00008767567,0.000103007,0.0001077241],"domain_scores_gemma":[0.9996299,0.00002369127,0.00004388014,0.0001616955,0.00003605501,0.0001048443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003924272,0.000008772447,0.00003571583,0.00008841536,0.00005476643,0.000002429743,0.0002827721,0.662686,0.2614654,0.00002898816,0.05977923,0.01552829],"study_design_scores_gemma":[0.0004206598,0.000009137846,0.00002597428,0.00001058933,0.00001819277,0.000009293158,0.00005276898,0.9787158,0.002749956,0.00004760715,0.01787255,0.00006744279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00426344,0.0002979843,0.9914367,0.003249741,0.0003149423,0.00008972028,0.0000173902,0.0001126985,0.000217344],"genre_scores_gemma":[0.9967226,0.00000820176,0.00248523,0.0003089793,0.0003635676,0.000003832372,0.00001120364,0.00001974537,0.00007665053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9924592,"threshold_uncertainty_score":0.2404409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701114018081966,"score_gpt":0.2774229385715245,"score_spread":0.2073115367633279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}